Papers
11,015 papers found
Combinatorial Pure Exploration of Causal Bandits
Nuoya Xiong, Wei Chen
Competitive Physics Informed Networks
Qi Zeng, Yash Kothari, Spencer H Bryngelson et al.
Complexity-Based Prompting for Multi-step Reasoning
Yao Fu, Hao Peng, Ashish Sabharwal et al.
Composing Ensembles of Pre-trained Models via Iterative Consensus
Shuang Li, Yilun Du, Joshua B. Tenenbaum et al.
Composing Task Knowledge With Modular Successor Feature Approximators
Wilka Torrico Carvalho, Angelos Filos, Richard Lewis et al.
Composite Slice Transformer: An Efficient Transformer with Composition of Multi-Scale Multi-Range Attentions
Mingu Lee, Saurabh Pitre, Tianyu Jiang et al.
Compositionality with Variation Reliably Emerges in Neural Networks
Henry Conklin, Kenny Smith
Compositional Law Parsing with Latent Random Functions
Fan Shi, Bin Li, Xiangyang Xue
Compositional Prompt Tuning with Motion Cues for Open-vocabulary Video Relation Detection
Kaifeng Gao, Long Chen, Hanwang Zhang et al.
Compositional Semantic Parsing with Large Language Models
Andrew Drozdov, Nathanael Schärli, Ekin Akyürek et al.
Compositional Task Representations for Large Language Models
NAN SHAO, Zefan Cai, Hanwei xu et al.
Compressing multidimensional weather and climate data into neural networks
Langwen Huang, Torsten Hoefler
Computational Language Acquisition with Theory of Mind
Andy Liu, Hao Zhu, Emmy Liu et al.
Computing all Optimal Partial Transports
Abhijeet Phatak, Sharath Raghvendra, CHITTARANJAN TRIPATHY et al.
Concept Gradient: Concept-based Interpretation Without Linear Assumption
Andrew Bai, Chih-Kuan Yeh, Neil Y.C. Lin et al.
Concept-level Debugging of Part-Prototype Networks
Andrea Bontempelli, Stefano Teso, Katya Tentori et al.
Conditional Antibody Design as 3D Equivariant Graph Translation
Xiangzhe Kong, Wenbing Huang, Yang Liu
Conditional Positional Encodings for Vision Transformers
Xiangxiang Chu, Zhi Tian, Bo Zhang et al.
Confidence-Based Feature Imputation for Graphs with Partially Known Features
Daeho Um, Jiwoong Park, Seulki Park et al.
Confidence-Conditioned Value Functions for Offline Reinforcement Learning
Joey Hong, Aviral Kumar, Sergey Levine
Confidence Estimation Using Unlabeled Data
Chen Li, Xiaoling Hu, Chao Chen
Confidential-PROFITT: Confidential PROof of FaIr Training of Trees
Ali Shahin Shamsabadi, Sierra Calanda Wyllie, Nicholas Franzese et al.
Conservative Bayesian Model-Based Value Expansion for Offline Policy Optimization
Jihwan Jeong, Xiaoyu Wang, Michael Gimelfarb et al.
Consolidator: Mergable Adapter with Group Connections for Visual Adaptation
Tianxiang Hao, Hui Chen, Yuchen Guo et al.